| /* |
| * Copyright (c) 2019 ARM Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #include "arm_compute/core/NEON/kernels/NESpaceToBatchLayerKernel.h" |
| |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/NEON/wrapper/wrapper.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include <arm_neon.h> |
| #include <cstdint> |
| |
| using namespace arm_compute::misc::shape_calculator; |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *block_info, const ITensorInfo *padddings, const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, block_info, padddings, output); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(block_info, 1, DataType::S32); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4); |
| ARM_COMPUTE_RETURN_ERROR_ON(block_info->num_dimensions() > 1); |
| ARM_COMPUTE_RETURN_ERROR_ON(padddings->num_dimensions() > 2); |
| ARM_COMPUTE_RETURN_ERROR_ON(padddings->tensor_shape()[1] != block_info->tensor_shape()[0]); |
| |
| // Validate output if initialized |
| if(output->total_size() != 0) |
| { |
| const DataLayout data_layout = input->data_layout(); |
| const int idx_channel = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_channel] != output->tensor_shape()[idx_channel]); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| } |
| |
| return Status{}; |
| } |
| Status validate_arguments_static(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, |
| const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN); |
| ARM_COMPUTE_RETURN_ERROR_ON(block_shape_x < 1 || block_shape_y < 1); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4); |
| |
| // Validate output if initialized |
| if(output->total_size() != 0) |
| { |
| const DataLayout data_layout = input->data_layout(); |
| const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); |
| const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); |
| const int idx_channel = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL); |
| const int idx_batch = get_data_layout_dimension_index(data_layout, DataLayoutDimension::BATCHES); |
| ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_width] < padding_left.x() + padding_right.y()); |
| ARM_COMPUTE_RETURN_ERROR_ON((input->tensor_shape()[idx_width] + padding_left.x() + padding_right.x()) % block_shape_x != 0); |
| ARM_COMPUTE_RETURN_ERROR_ON((input->tensor_shape()[idx_height] + padding_left.y() + padding_right.y()) % block_shape_y != 0); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_channel] != output->tensor_shape()[idx_channel]); |
| ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_batch] % (block_shape_x * block_shape_y) != 0); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output); |
| } |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| NESpaceToBatchLayerKernel::NESpaceToBatchLayerKernel() |
| : _input(nullptr), _block_shape(nullptr), _paddings(nullptr), _output(nullptr), _padding_left(), _block_shape_x(), _block_shape_y() |
| { |
| } |
| |
| void NESpaceToBatchLayerKernel::configure(const ITensor *input, const ITensor *block_shape, const ITensor *paddings, ITensor *output) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), block_shape->info(), paddings->info(), output->info())); |
| |
| _input = input; |
| _block_shape = block_shape; |
| _paddings = paddings; |
| _output = output; |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*output->info(), Steps()); |
| ICPPKernel::configure(win); |
| } |
| |
| void NESpaceToBatchLayerKernel::configure(const ITensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, |
| ITensor *output) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| |
| TensorShape output_shape = misc::shape_calculator::compute_space_to_batch_shape(input->info(), block_shape_x, block_shape_y, padding_left, padding_right); |
| auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->quantization_info()); |
| |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments_static(input->info(), block_shape_x, block_shape_y, padding_left, padding_right, output->info())); |
| |
| _input = input; |
| _output = output; |
| _block_shape_x = block_shape_x; |
| _block_shape_y = block_shape_y; |
| _padding_left = padding_left; |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*output->info(), Steps()); |
| INEKernel::configure(win); |
| } |
| |
| Status NESpaceToBatchLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, block_shape, paddings, output)); |
| return Status{}; |
| } |
| Status NESpaceToBatchLayerKernel::validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, |
| const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_static(input, block_shape_x, block_shape_y, padding_left, padding_right, output)); |
| return Status{}; |
| } |
| |
| void NESpaceToBatchLayerKernel::run(const Window &window, const ThreadInfo &info) |
| { |
| ARM_COMPUTE_UNUSED(info); |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICPPKernel::window(), window); |
| |
| if(_block_shape != nullptr) |
| { |
| // Retrieve the block shapes dynamically |
| _block_shape_x = *(reinterpret_cast<const int *>(_block_shape->ptr_to_element(0))); |
| _block_shape_y = *(reinterpret_cast<const int *>(_block_shape->ptr_to_element(1))); |
| } |
| |
| if(_paddings != nullptr) |
| { |
| const size_t pad_left_x = *reinterpret_cast<const size_t *>(_paddings->ptr_to_element({ 0, 0 })); |
| const size_t pad_left_y = *reinterpret_cast<const size_t *>(_paddings->ptr_to_element({ 1, 0 })); |
| _padding_left = Size2D(pad_left_x, pad_left_y); |
| } |
| const DataLayout data_layout = _input->info()->data_layout(); |
| const int height_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); |
| const int width_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); |
| const int element_size = _input->info()->element_size(); |
| |
| const size_t height = _input->info()->dimension(height_idx); |
| const size_t width = _input->info()->dimension(width_idx); |
| const size_t batch_size = _input->info()->dimension(3); |
| |
| Window slice_out = window.first_slice_window_3D(); |
| |
| int batch_id = 0; |
| |
| // Main loop for NCHW and NHWC |
| if(_output->info()->data_layout() == DataLayout::NCHW) |
| { |
| do |
| { |
| Iterator out(_output, slice_out); |
| execute_window_loop(slice_out, [&](const Coordinates & id) |
| { |
| const size_t out_x = id.x(); |
| const size_t out_y = id.y(); |
| const size_t z = id.z(); |
| const size_t pos_x = out_x * _block_shape_x + (batch_id / batch_size) % _block_shape_x; |
| const size_t pos_y = out_y * _block_shape_y + (batch_id / batch_size) / _block_shape_x; |
| if(pos_y >= _padding_left.y() && pos_y < _padding_left.y() + height && pos_x >= _padding_left.x() && pos_x < _padding_left.x() + width) |
| { |
| const int w = batch_id % batch_size; |
| const int in_x = pos_x - _padding_left.x(); |
| const int in_y = pos_y - _padding_left.y(); |
| Coordinates input_coords{ in_x, in_y, z, w }; |
| memcpy(out.ptr(), _input->ptr_to_element(input_coords), element_size); |
| } |
| }, |
| out); |
| ++batch_id; |
| } |
| while(window.slide_window_slice_3D(slice_out)); |
| } |
| else |
| { |
| do |
| { |
| Iterator out(_output, slice_out); |
| execute_window_loop(slice_out, [&](const Coordinates & id) |
| { |
| const size_t out_x = id.y(); |
| const size_t out_y = id.z(); |
| const size_t z = id.x(); |
| const size_t pos_x = out_x * _block_shape_x + (batch_id / batch_size) % _block_shape_x; |
| const size_t pos_y = out_y * _block_shape_y + (batch_id / batch_size) / _block_shape_x; |
| if(pos_y >= _padding_left.y() && pos_y < _padding_left.y() + height && pos_x >= _padding_left.x() && pos_x < _padding_left.x() + width) |
| { |
| const int w = batch_id % batch_size; |
| const int in_x = pos_x - _padding_left.x(); |
| const int in_y = pos_y - _padding_left.y(); |
| Coordinates input_coords{ z, in_x, in_y, w }; |
| memcpy(out.ptr(), _input->ptr_to_element(input_coords), element_size); |
| } |
| }, |
| out); |
| ++batch_id; |
| } |
| while(window.slide_window_slice_3D(slice_out)); |
| } |
| } |
| } // namespace arm_compute |